INSTRUCTOR’S
SOLUTIONS MANUAL
BASIC BUSINESS STATISTICS
PR
FIFTEENTH EDITION
O
Mark L. Berenson
David M. Levine
FD
Kathryn A. Szabat
David F. Stephan
O
Complete Chapter Solutions Manual
C
are included (Ch 1 to 20)
** Immediate Download
** Swift Response
** All Chapters included
** Online Sections
** Tips and Digital Cases
, Table of Contents
Teaching Tips ................................................................................................................................... 1
Chapter 1 Defining and Collecting Data ............................................................................................... 43
Chapter 2 Tabular and Visual Summarization of Variables .................................................................. 51
Chapter 3 Numerical Descriptive Measures ........................................................................................ 155
Chapter 4 Basic Probability................................................................................................................. 201
Chapter 5 Discrete Probability Distributions....................................................................................... 211
PR
Chapter 6 The Normal Distribution and Other Continuous Distributions ........................................... 245
Chapter 7 Sampling Distributions ....................................................................................................... 283
Chapter 8 Confidence Interval Estimation .......................................................................................... 309
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests ................................................... 347
O
Chapter 10 Two-Sample Tests ............................................................................................................. 397
FD
Chapter 11 Analysis of Variance........................................................................................................... 459
Chapter 12 Chi-Square and Nonparametric Tests ..................................................................................497
Chapter 13 Simple Linear Regression ....................................................................................................543
O
Chapter 14 Introduction to Multiple Regression ....................................................................................599
Chapter 15 More Complex Multiple Regression Models .......................................................................681
C
Chapter 16 Time-Series Forecasting ..................................................................................................... 741
Chapter 17 Business Analytics .............................................................................................................. 869
Chapter 18 Getting Ready to Analyze Data in the Future ..................................................................... 871
Chapter 19 Statistical Applications in Quality Management (Online) .................................................. 933
Chapter 20 Decision Making (Online) .................................................................................................. 963
Online Sections.........................................................................................................................................1001
Instructional Tips and Solutions for Digital Cases ...................................................................................1067
The Craybill Instrumentation Company Case.......................................................................................... 1107
,The Mountain States Potato Company Case............................................................................................ 1109
The O. Hara Performance Consulting Case ............................................................................................ 1117
The Sure Value Convenience Stores Case ............................................................................................... 1119
The Choice Is Yours/More Descriptive Choices Follow-up Case ............................................................ 1127
The Claro Mountain State Student Surveys Case..................................................................................... 1183
The Shelter Bay Lifestyles Case ............................................................................................................... 1277
The Tri-Cities Times Case ....................................................................................................................... 1337
PR
O
FD
O
C
, Teaching Tips for
Basic Business Statistics 15th Ed.
Our Starting Point
Over a generation ago, advances in “data processing” led to new business opportunities
as first centralized and then desktop computing proliferated. The Information Age was
born. Computer science became much more than just an adjunct to a mathematics
curriculum, and whole new fields of studies, such as computer information systems,
emerged.
More recently, further advances in information technologies have combined with
PR
data analysis techniques to create new opportunities in what is more data science than
data processing or computer science. The world of business statistics has grown larger,
bumping into other disciplines. And, in a reprise of something that occurred a generation
ago, new fields of study, this time with names such as informatics, data analytics, and
O
decision science, have emerged.
This time of change makes what is taught in business statistics and how it is taught all
FD
the more critical. These new fields of study all share statistics as a foundation for further
learning. We are accustomed to thinking about change, as seeking ways to continuously
improve the teaching of business statistics have always guided our efforts. We actively
participate in Decision Sciences Institute (DSI), American Statistical Association (ASA),
O
and Making Statistics More Effective in Schools and Business (MSMESB) conferences.
We use the ASA’s Guidelines for Assessment and Instruction (GAISE) reports and
C
combine them with our experiences teaching business statistics to a diverse student body
at several large universities.
What to teach and how to teach it are particularly significant questions to ask during a
time of change. As an author team, we bring a unique collection of experiences that we
believe helps us find the proper perspective in balancing the old and the new. Our lead
author, David M. Levine, was the first educator, along with Mark L. Berenson, to create a
business statistics textbook that discussed using statistical software and incorporated
“computer output” as illustrations—just the first of many teaching and curricular
innovations in his many years of teaching business statistics. Kathryn A. Szabat has
SOLUTIONS MANUAL
BASIC BUSINESS STATISTICS
PR
FIFTEENTH EDITION
O
Mark L. Berenson
David M. Levine
FD
Kathryn A. Szabat
David F. Stephan
O
Complete Chapter Solutions Manual
C
are included (Ch 1 to 20)
** Immediate Download
** Swift Response
** All Chapters included
** Online Sections
** Tips and Digital Cases
, Table of Contents
Teaching Tips ................................................................................................................................... 1
Chapter 1 Defining and Collecting Data ............................................................................................... 43
Chapter 2 Tabular and Visual Summarization of Variables .................................................................. 51
Chapter 3 Numerical Descriptive Measures ........................................................................................ 155
Chapter 4 Basic Probability................................................................................................................. 201
Chapter 5 Discrete Probability Distributions....................................................................................... 211
PR
Chapter 6 The Normal Distribution and Other Continuous Distributions ........................................... 245
Chapter 7 Sampling Distributions ....................................................................................................... 283
Chapter 8 Confidence Interval Estimation .......................................................................................... 309
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests ................................................... 347
O
Chapter 10 Two-Sample Tests ............................................................................................................. 397
FD
Chapter 11 Analysis of Variance........................................................................................................... 459
Chapter 12 Chi-Square and Nonparametric Tests ..................................................................................497
Chapter 13 Simple Linear Regression ....................................................................................................543
O
Chapter 14 Introduction to Multiple Regression ....................................................................................599
Chapter 15 More Complex Multiple Regression Models .......................................................................681
C
Chapter 16 Time-Series Forecasting ..................................................................................................... 741
Chapter 17 Business Analytics .............................................................................................................. 869
Chapter 18 Getting Ready to Analyze Data in the Future ..................................................................... 871
Chapter 19 Statistical Applications in Quality Management (Online) .................................................. 933
Chapter 20 Decision Making (Online) .................................................................................................. 963
Online Sections.........................................................................................................................................1001
Instructional Tips and Solutions for Digital Cases ...................................................................................1067
The Craybill Instrumentation Company Case.......................................................................................... 1107
,The Mountain States Potato Company Case............................................................................................ 1109
The O. Hara Performance Consulting Case ............................................................................................ 1117
The Sure Value Convenience Stores Case ............................................................................................... 1119
The Choice Is Yours/More Descriptive Choices Follow-up Case ............................................................ 1127
The Claro Mountain State Student Surveys Case..................................................................................... 1183
The Shelter Bay Lifestyles Case ............................................................................................................... 1277
The Tri-Cities Times Case ....................................................................................................................... 1337
PR
O
FD
O
C
, Teaching Tips for
Basic Business Statistics 15th Ed.
Our Starting Point
Over a generation ago, advances in “data processing” led to new business opportunities
as first centralized and then desktop computing proliferated. The Information Age was
born. Computer science became much more than just an adjunct to a mathematics
curriculum, and whole new fields of studies, such as computer information systems,
emerged.
More recently, further advances in information technologies have combined with
PR
data analysis techniques to create new opportunities in what is more data science than
data processing or computer science. The world of business statistics has grown larger,
bumping into other disciplines. And, in a reprise of something that occurred a generation
ago, new fields of study, this time with names such as informatics, data analytics, and
O
decision science, have emerged.
This time of change makes what is taught in business statistics and how it is taught all
FD
the more critical. These new fields of study all share statistics as a foundation for further
learning. We are accustomed to thinking about change, as seeking ways to continuously
improve the teaching of business statistics have always guided our efforts. We actively
participate in Decision Sciences Institute (DSI), American Statistical Association (ASA),
O
and Making Statistics More Effective in Schools and Business (MSMESB) conferences.
We use the ASA’s Guidelines for Assessment and Instruction (GAISE) reports and
C
combine them with our experiences teaching business statistics to a diverse student body
at several large universities.
What to teach and how to teach it are particularly significant questions to ask during a
time of change. As an author team, we bring a unique collection of experiences that we
believe helps us find the proper perspective in balancing the old and the new. Our lead
author, David M. Levine, was the first educator, along with Mark L. Berenson, to create a
business statistics textbook that discussed using statistical software and incorporated
“computer output” as illustrations—just the first of many teaching and curricular
innovations in his many years of teaching business statistics. Kathryn A. Szabat has
